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Ai For Science Jobs in North Carolina (NOW HIRING)

This role is critical for enabling safe, reliable, and compliant AI development across multiple use ... and data scientists to understand cross-cutting needs and convert them into reusable platform ...

Senior AI Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth ...

Senior AI Engineer

Charlotte, NC · On-site

$102.10K - $140.20K/yr

With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth ...

If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel. In the assigned Job Role of Data Science Consultant 1, your ...

Hands-on experience with Apache Kafka for event-driven architectures. * Experience with Flink for ... AI / Conversational Platform Exposure: * Good understanding of Google Dialog flow CX or similar ...

Recruiting for this role ends on 5/31/2026. Work you'll do As a Finance AI Manager on the Finance ... Bachelor's degree in Business, Computer Science, Data Science, or a closely defined field from an ...

Recruiting for this role ends on 5/31/2026. Work you'll do As a Finance AI Manager on the Finance ... Bachelor's degree in Business, Computer Science, Data Science, or a closely defined field from an ...

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Ai For Science information

What are the key skills and qualifications needed to thrive as an AI for Science Specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What cities in North Carolina are hiring for Ai For Science jobs? Cities in North Carolina with the most Ai For Science job openings:

Research Scientist - AI for Power Electronics

Hitachi Energy

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Hitachi Energy rating

8.0

Company rating: 8.0 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

139th of 415 rated machine equipment manufacturers


Job description

Job Summary:
Hitachi Energy is a global technology leader in electrification, dedicated to powering a sustainable energy future through innovative power grid technologies. The Research Scientist will work at the intersection of power electronics and artificial intelligence, developing AI-enabled software tools to enhance the design and optimization of complex power electronics systems.
Responsibilities:
• Collaborate with global teams to develop AI-enabled software tools that enhance power electronics design workflows
• Drive research in design automation using AI, optimization algorithms, and data-driven methods
• Develop and validate AI-based approaches for design space exploration, performance prediction, and system optimization
• Support component selection, reliability assessment, and scalability improvements for power electronic systems
• Identify technology gaps and contribute to future-focused research priorities in power electronics design tools
• Partner with engineering teams to translate design challenges into practical, user-focused software solutions
• Work with external partners including universities, national labs, and industry collaborators to advance research initiatives
• Share findings through scientific publications, technical reports, and patent applications
• Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Qualifications:
Required:
• Candidate must already have work authorization that would permit them to work for Hitachi Energy in the United States.
• Ph.D. degree in Electrical Engineering with a focus on power electronics, energy conversion, or a closely related field, with educational background spanning both Power Electronics and Computer Science/AI
• Experience in power electronics design, modeling, hardware systems, and simulation/verification of power electronic systems
• Hands-on experience applying AI techniques such as supervised/unsupervised learning, optimization, surrogate modeling, or reinforcement learning to engineering problems
• Proficiency in programming (Python or similar) and familiarity with machine learning frameworks such as PyTorch or TensorFlow and scientific computing tools
• Experience with tools such as Matlab, Simulink, PSCAD, PLECS, and familiarity with hardware design workflows and controller design techniques
• Proven research background with publications in recognized journals or conferences and effective communication skills in English
Company:
Hitachi Energy is a renewable energy company that provides energy consulting services. Founded in 1950, the company is headquartered in Bengaluru, IND, with a team of 10001+ employees. The company is currently Late Stage.

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